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Paper Citation Record · LEDGER

Multi-modal Causal Structure Learning and Root Cause Analysis

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.02357.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.02357 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:04:57.016094Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T18:30:14.582187Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 736f471c-4c94-4771-a5d3-638ceda6ce14 · inbound

PyG-SSL: A Graph Self-Supervised Learning Toolkit cites this paper.

PyG-SSL: A Graph Self-Supervised Learning Toolkit Multi-modal Causal Structure Learning and Root Cause Analysis

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:57.016094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:57.016094Z digest=sha256:f482736b6892e0303a600429d3a7c2159d1fafb4a7727f0cd79ae67e63047476

Observation e862836f-fa4a-4acd-bf39-92c5e6c844af · inbound

Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity cites this paper.

Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity Multi-modal Causal Structure Learning and Root Cause Analysis

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:30:14.588303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:30:14.497349Z digest=sha256:24da59923245a2aae3d0397b266992d5f3b32ea32ecec0027522241e056859fb